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Mastering GenAI
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Generative AI Application Components

FM

Large language models (LLMs) are a subset of foundation models that are trained on a large corpus of text data.

Enterprise datasets

Although foundation models can generate human-like text, images, audio, and more from your prompts, this might not be sufficient for enterprise use cases. To power customized enterprise applications, the foundation models need relevant data from enterprise datasets.

Putting the application together

Phase 1

The focus of this phase is to convert the enterprise data used to augment input prompts into a compatible format to perform a relevancy search. This is done using an embeddings machine learning model. The batch job calls the model to convert existing knowledge documents into its numerical representations. The batch job then stores the data in a vector database using the approach described in the following three steps. To learn more, choose each of the following three numbered markers.
Phase 2 comprises seven steps. To learn more, choose each of the following seven numbered markers.